Probabilistic Models Courses and Certifications

Decoding Decision Modeling

Elevate decision-making skills with Decision Models, analysis methods, risk management, and optimization techniques.

• DataCamp
• 1 hour
• Self-Paced
• Free Trial Available

Paul G. Allen School

Probabilistic Models for RNA Splicing Analysis

Exploring probabilistic models for RNA-seq data analysis, focusing on alternative splicing quantification and predicting splicing from DNA sequence to improve rare variant interpretation.

• YouTube
• 1 hour 2 minutes
• Self-Paced
• Free Video

UofU Data Science

Probabilistic Graphical Models and Mean Field Inference - Lecture 20

Dive into advanced data science concepts including local version inference, alternating updates, and mean field version updates for practical applications in graphic models and word distribution.

• YouTube
• 1 hour 21 minutes
• Self-Paced
• Free Video

Valence Labs

Calibration and Generalizability of Probabilistic Models on Low-Data Chemical Datasets

Explore calibration and generalizability of probabilistic models on small chemical datasets. Gain insights into model selection and feature choice for molecular property prediction and design.

• YouTube
• 53 minutes
• Self-Paced
• Free Video

USC Information Sciences Institute

Designing Priors for Bayesian Neural Nets to Enhance Probabilistic Predictive Models in Engineering

Explore how Bayesian neural networks can enhance engineering predictive models by integrating physics-based knowledge and providing robust uncertainty quantification for high-consequence decision-making applications.

• YouTube
• 1 hour
• Self-Paced
• Free Video

Uncertainty in Artificial Intelligence

Geometric Probabilistic Models - Tutorial 4

Explore geometric probabilistic models for data-efficient, uncertainty-aware decision-making in applications like drug design and robotics. Learn theory and implementation of Gaussian processes and related techniques.

• YouTube
• 2 hours 32 minutes
• Self-Paced
• Free Video

Wolfram

The BayesianNetwork Paclet - Graphical Probabilistic Models for Reasoning Under Uncertainty

Explore Bayesian networks for probabilistic modeling and uncertainty reasoning using Wolfram's specialized paclet for multivariate probability distributions.

• YouTube
• 20 minutes
• Self-Paced
• Free Video

Society for Industrial and Applied Mathematics

Essentials of Math Modeling - Session 5 - Probabilistic Models

Explore probabilistic models, including Markov chains and Metropolis-Hastings algorithm, with practical exercises and problem-solving sessions using MATLAB for mathematical modeling applications.

• YouTube
• 1 hour 49 minutes
• Self-Paced
• Conference Talk

IEEE

Confident Monte Carlo - Rigorous Analysis of Guessing Curves for Probabilistic Password Models

Rigorous analysis of guessing curves for probabilistic password models using Confident Monte Carlo method, enhancing security evaluation techniques for password-based authentication systems.

• YouTube
• 15 minutes
• Self-Paced
• Conference Talk

Coursera

Probabilistic Graphical Models: A Compact Introduction

Master probabilistic graphical models for medical diagnosis and risk prediction with Bayesian networks, inference algorithms, and Python implementation using pgmpy.

• Coursera
• 2 hours 44 minutes
• Self-Paced
• Paid Course

Career Certificate

Natural Language Processing

6196 ratings at Coursera

Explore cutting-edge NLP techniques to analyze text, build language models, and create AI applications. Gain hands-on experience in sentiment analysis, machine translation, and chatbot development.

• Coursera
• 12 weeks, 10 hours/week
• Self-Paced
• Paid Course
• 4 courses

Career Certificate

TensorFlow 2 for Deep Learning

722 ratings at Coursera

Develop practical skills in TensorFlow 2 for deep learning, covering model building, training, evaluation, customization, and probabilistic approaches using TensorFlow Probability.

• Coursera
• 12 weeks, 10 hours/week
• Self-Paced
• Paid Course
• 3 courses

Practical Methodology and Ethics in AI

11 ratings at Coursera

Master practical AI methodologies while exploring ethical considerations, from model training to deployment, with emphasis on bias detection, probabilistic approaches, and creating responsible AI solutions.

• Coursera
• 6 hours 56 minutes
• Self-Paced
• Paid Course

Data Science in Stratified Healthcare and Precision Medicine

341 ratings at Coursera

Explore data science in biomedicine, from genomics to wearables. Learn computational methods for precision medicine, including sequence processing, image analysis, and machine learning. Gain hands-on experience with real-world data and case studies.

• Coursera
• 18 hours 24 minutes
• Self-Paced
• Paid Course

Fundamentals of Probabilistic Graphical Models

Learn to represent complex probability distributions with Bayes Nets and use Hidden Markov Models for pattern recognition in various fields like computer vision, bioinformatics, and natural language processing.

• Udacity
• 14 hours
• Self-Paced
• Paid Course